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Current IssueEditorial BoardOnline First ArticlesArchive

Research Article

volume 39 issue 3 (september 2019) : 236-243,   Doi: 10.18805/ag.D-158

Air Quality Evaluation with a Low-cost Dust Sensor for a Hencoop

A
Abdullah Beyaz
1<div style="text-align: justify;">Department of Agricultural Machinery and Technologies Engineering,&nbsp;06110, Diskapi, Ankara, Turkey</div>
Cite article:- Beyaz Abdullah (2019). Air Quality Evaluation with a Low-cost Dust Sensor for a Hencoop. Agricultural Science Digest. 39(3): 236-243. doi: 10.18805/ag.D-158.

ABSTRACT

A hygenic working environment is essential for human health. It includes environmental conditions like light, air flow, gasses, sound, and rubble. It became more important for agricultural indoor and outdoor applications. For example; the dust intensity in a hencoop sometimes negatively affects human and animal health as an environmental component. On account of this ground, dust concentration measurement is crucial for agricultural indoor and outdoor applications. Because of this reason, the intensity of dust have been evaluated and analyzed in this research. For this purpose, a microcontroller based dust intensity measurement unit was developed. The dust intensity measurement unit contains an Arduino based development board and Sharp dust sensor.
Additionally, an SD card module and a Real-Time Clock (RTC) was utilized for a data logging operation. The addition of air stream, air filtering technique and dust removing machines can be qualified regarding the dust intensity or dust balance.

REFERENCES

  1. Alvarado, M., Gonzalez, F., Fletcher, A., Doshi, A. (2015). Towards the Development of a Low-Cost Airborne Sensing System to Monitor Dust Particles after Blasting at Open-Pit Mine Sites. Sensors, 2015(15): 19667-19687; doi: 10.3390/s150819667
  2. Anonymous, (2016). Sharp GP2Y1010AU0F Dust Sensor Manual. Webpage: https://www.sparkfun.com/datasheets/Sensors/gp2y1010au_e.pdf, Access date: 27.07.2016
  3. Budde, M., Busse, M., and Beigl, M. (2012). Investigating the Use of Commodity Dust Sensors for the Embedded Measurement of Particulate Matter. 2012 Ninth International Conference on Networked Sensing (INSS), DOI: 10.1109/INSS.2012.6240545
  4. Budde, M., El-Masri, R., Riedel, T. And Beigl, M. (2013). Enabling Low-Cost Particulate Matter Measurement for Participatory Sensing Scenarios. Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia (MUM 2013), Luleå, Sweden, Dec. 2-5, 2013.
  5. Devarakonda, S., Sevusu, P., Liu, H., Liu, R., Iftode, L., Nath, B. (2013). Real-time Air Quality Monitoring Through Mobile Sensing in Metropolitan Areas. UrbComp’13, August 11–14, 2013, Chicago, Illinois, USA.
  6. Gustafsson, G. (1999). Factors affecting the Release and Concentration of Dust in Pig Houses. Journal of Agricultural Engineering Research, 74: 379-390
  7. Khadem, M. I. and Sgârcıu, V. (2014). Smart Sensor Nodes For Airborne Particulate Concentration Detection. Scientific Bulletin-University Politehnica of Bucharest, Series C, Vol. 76, Iss. 4, ISSN 2286-3540
  8. Khan, A. A., Bhat, G. A. and Banday, M. T. (2009). Effect of Different Litter Materials on Performance of Commercial Broilers in Temperate Agro-Climatic Conditions of Kashmir Valley in Summer Season. Indian Journal of Animal Research, 43(2): 153-154, 2009
  9. Moulick, H. N. & Roy, I. K. (2015). Intelligent Systems- Dust Control In Computers. International Journal on Applications of Information and Communication Engineering, 1(2): 31-32
  10. Naticchiaa, B., Favab, G., Carbonaria, A., Quaqueroc, E., (2014). Preliminary Tests on a Wireless Sensor Network for Pervasive Dust Monitoring in Construction Sites. The Open Environmental Engineering Journal, 7: 10-18
  11. Olivares, G. and Edwards, S. (2015). The Outdoor Dust Information Node (ODIN) – development and performance assessment of a low cost ambient dust sensor. Atmospheric Measurement Techniques, 8: 7511–7533, www.atmos-meas-tech-discuss.net/8/7511/2015/, doi: 10.5194/amtd-8-7511-2015
  12. Prabakar, J., Mohan, V., Ravisankar, K. (2015). Evaluation of Low Cost Particulate Matter Sensor for Indoor Air Quality Measurement. International Journal of Innovative Research in Science, Engineering and Technology, 4(2): 366 – 369
  13. Ruslan, N. B. (2015). AIR Pollution Index (Api) Real Time Monitoring System. A thesis submitted in partial fulfilment of the requirements for the award of Degree of Master of Electrical Engineering. Fakulti Kejuruteraan Elektrik Dan Elektronik Universiti Tun Hussein Onn Malaysia
  14. Singh, C.B. and Sharma, R.J. (2000) Utilization of Different Litter Materials for Raising Commercial Broilers in Hilly Area. Indian Journal of Animal Research, 34(1): 78-79.
  15. The World Health Organization. (2005) WHO air quality guidelines for particulate matter, ozone, nitrogen dioxide and sulfur dioxide – global update 2005 – summary of risk assessment. [Online]. Available: http: //whqlibdoc.who.int/hq/2006/WHO_SDE_PHE_OEH_06.02_eng.pdf
  16. Tianhua, L. and Ying, W. (2014). Design of Indoor Dust Concentration Monitor Based on Light Scattering Detection Method. Scientific Research and Essays, 9(9):321-324
  17. United States Environmental Protection Agency. (2006) National ambient air quality standards (NAAQS) – air and radiation – US EPA. [Online]. Available: http://www.epa.gov/air/criteria.html
  18. Weekly, K., Rim, D., Zhang, L., Bayen, A. M., Nazaroff, W. W., and Spanos, C. J. (2013). Low-Cost Coarse Airborne Particulate Matter Sensing for İndoor Occupancy Detection. 9th IEEE Conference on Automation Science and Engineering (CASE), Madison, Wisconsin, USA, August 17-21, 2013
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    Research Article

    volume 39 issue 3 (september 2019) : 236-243,   Doi: 10.18805/ag.D-158

    Air Quality Evaluation with a Low-cost Dust Sensor for a Hencoop

    A
    Abdullah Beyaz
    1<div style="text-align: justify;">Department of Agricultural Machinery and Technologies Engineering,&nbsp;06110, Diskapi, Ankara, Turkey</div>
    Cite article:- Beyaz Abdullah (2019). Air Quality Evaluation with a Low-cost Dust Sensor for a Hencoop. Agricultural Science Digest. 39(3): 236-243. doi: 10.18805/ag.D-158.

    ABSTRACT

    A hygenic working environment is essential for human health. It includes environmental conditions like light, air flow, gasses, sound, and rubble. It became more important for agricultural indoor and outdoor applications. For example; the dust intensity in a hencoop sometimes negatively affects human and animal health as an environmental component. On account of this ground, dust concentration measurement is crucial for agricultural indoor and outdoor applications. Because of this reason, the intensity of dust have been evaluated and analyzed in this research. For this purpose, a microcontroller based dust intensity measurement unit was developed. The dust intensity measurement unit contains an Arduino based development board and Sharp dust sensor.
    Additionally, an SD card module and a Real-Time Clock (RTC) was utilized for a data logging operation. The addition of air stream, air filtering technique and dust removing machines can be qualified regarding the dust intensity or dust balance.

    REFERENCES

    1. Alvarado, M., Gonzalez, F., Fletcher, A., Doshi, A. (2015). Towards the Development of a Low-Cost Airborne Sensing System to Monitor Dust Particles after Blasting at Open-Pit Mine Sites. Sensors, 2015(15): 19667-19687; doi: 10.3390/s150819667
    2. Anonymous, (2016). Sharp GP2Y1010AU0F Dust Sensor Manual. Webpage: https://www.sparkfun.com/datasheets/Sensors/gp2y1010au_e.pdf, Access date: 27.07.2016
    3. Budde, M., Busse, M., and Beigl, M. (2012). Investigating the Use of Commodity Dust Sensors for the Embedded Measurement of Particulate Matter. 2012 Ninth International Conference on Networked Sensing (INSS), DOI: 10.1109/INSS.2012.6240545
    4. Budde, M., El-Masri, R., Riedel, T. And Beigl, M. (2013). Enabling Low-Cost Particulate Matter Measurement for Participatory Sensing Scenarios. Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia (MUM 2013), Luleå, Sweden, Dec. 2-5, 2013.
    5. Devarakonda, S., Sevusu, P., Liu, H., Liu, R., Iftode, L., Nath, B. (2013). Real-time Air Quality Monitoring Through Mobile Sensing in Metropolitan Areas. UrbComp’13, August 11–14, 2013, Chicago, Illinois, USA.
    6. Gustafsson, G. (1999). Factors affecting the Release and Concentration of Dust in Pig Houses. Journal of Agricultural Engineering Research, 74: 379-390
    7. Khadem, M. I. and Sgârcıu, V. (2014). Smart Sensor Nodes For Airborne Particulate Concentration Detection. Scientific Bulletin-University Politehnica of Bucharest, Series C, Vol. 76, Iss. 4, ISSN 2286-3540
    8. Khan, A. A., Bhat, G. A. and Banday, M. T. (2009). Effect of Different Litter Materials on Performance of Commercial Broilers in Temperate Agro-Climatic Conditions of Kashmir Valley in Summer Season. Indian Journal of Animal Research, 43(2): 153-154, 2009
    9. Moulick, H. N. & Roy, I. K. (2015). Intelligent Systems- Dust Control In Computers. International Journal on Applications of Information and Communication Engineering, 1(2): 31-32
    10. Naticchiaa, B., Favab, G., Carbonaria, A., Quaqueroc, E., (2014). Preliminary Tests on a Wireless Sensor Network for Pervasive Dust Monitoring in Construction Sites. The Open Environmental Engineering Journal, 7: 10-18
    11. Olivares, G. and Edwards, S. (2015). The Outdoor Dust Information Node (ODIN) – development and performance assessment of a low cost ambient dust sensor. Atmospheric Measurement Techniques, 8: 7511–7533, www.atmos-meas-tech-discuss.net/8/7511/2015/, doi: 10.5194/amtd-8-7511-2015
    12. Prabakar, J., Mohan, V., Ravisankar, K. (2015). Evaluation of Low Cost Particulate Matter Sensor for Indoor Air Quality Measurement. International Journal of Innovative Research in Science, Engineering and Technology, 4(2): 366 – 369
    13. Ruslan, N. B. (2015). AIR Pollution Index (Api) Real Time Monitoring System. A thesis submitted in partial fulfilment of the requirements for the award of Degree of Master of Electrical Engineering. Fakulti Kejuruteraan Elektrik Dan Elektronik Universiti Tun Hussein Onn Malaysia
    14. Singh, C.B. and Sharma, R.J. (2000) Utilization of Different Litter Materials for Raising Commercial Broilers in Hilly Area. Indian Journal of Animal Research, 34(1): 78-79.
    15. The World Health Organization. (2005) WHO air quality guidelines for particulate matter, ozone, nitrogen dioxide and sulfur dioxide – global update 2005 – summary of risk assessment. [Online]. Available: http: //whqlibdoc.who.int/hq/2006/WHO_SDE_PHE_OEH_06.02_eng.pdf
    16. Tianhua, L. and Ying, W. (2014). Design of Indoor Dust Concentration Monitor Based on Light Scattering Detection Method. Scientific Research and Essays, 9(9):321-324
    17. United States Environmental Protection Agency. (2006) National ambient air quality standards (NAAQS) – air and radiation – US EPA. [Online]. Available: http://www.epa.gov/air/criteria.html
    18. Weekly, K., Rim, D., Zhang, L., Bayen, A. M., Nazaroff, W. W., and Spanos, C. J. (2013). Low-Cost Coarse Airborne Particulate Matter Sensing for İndoor Occupancy Detection. 9th IEEE Conference on Automation Science and Engineering (CASE), Madison, Wisconsin, USA, August 17-21, 2013
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